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Organizations once struggled to find data. Now they struggle to make sense of it.

Data was meant to bring clarity, not create confusion.

Teams are drowning in dashboards, scattered insights, and siloed tools. Primary research lives in one place, competitive intelligence in another, market context in yet another, and none of it connects cleanly. The burden of integration falls on already-stretched research teams, who spend more time compiling than interpreting. The real bottleneck is the ability to interpret, integrate, and act on what the data is trying to say.

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Stressed Woman

ANALYSIS PARALYSIS

Decision-makers get trapped in analysis paralysis, unsure which signal to trust. Insights get buried in spreadsheets. By the time the findings reach leadership, the moment to act has already passed.

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MOUNTAIN OF METRICS

Marketing dashboards, customer surveys, CRM exports, social listening tools, NPS trackers all pile up into a mountain of metrics. Teams spend days stitching together numbers just to answer a single question.​

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WORKFLOW FATIGUE

Behind every dataset is a human problem: time. Integrating multiple sources of feedback, interpreting sentiment, or comparing research studies isn’t just technical work, it’s cognitive. Analysts, researchers, and strategists are spending most of their time cleaning, merging, and reconciling instead of thinking. The result? Valuable insight becomes a casualty of workflow fatigue.

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THE FULL PICTURE

When data sources talk to each other, patterns surface faster and insights become clearer. But most research tools were never built to work together. As a result, research gets scattered across multiple platforms, forcing teams to stitch together answers long after decisions have already been made. What should be a streamlined workflow turns into a patchwork of disconnected systems, each holding a small piece of the truth but never the full picture.

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MEANINGFUL

A Meaningful Partnership: Tech + Research

We have partnered with Meaningful to bring you the best in AI powered research solutions. 

Meaningful is transforming how organizations connect with people, enabling deeper, more human-centered insights at scale. By partnering with Meaningful, we’re opening the door for brands, agencies, and researchers to tap into a powerful new way of understanding and engaging their audiences.

thinqinsights was an early adopter of Meaningful and the platform has become an indispensable part of our research workflow. 

MEANINGFUL

The next era of data isn’t about big data, it’s about meaningful data.

With data coming  from every direction, Meaningful offers a way to make sense of it all.

 

Meaningful brings the entire research workflow together, helping teams make real connections and uncover meaningful insights all in one place.

 

Teams can devote more time to high-value strategic thinking and uncovering meaningful insights. 
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UNIFIED DATA PIPELINE

All research data flows through Meaningful's integrated analytical frameworks, enabling comprehensive insights that single-source approaches miss.

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COORDINATED COLLECTION

Plan and execute multi-source research campaigns with Meaningful where AI interviews, expert analysis, market intelligence, and social insights inform each other in real-time.

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Use Conversations to gather in-depth data from human respondents.  Researchers can deploy interviews within minutes. 

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INTEGRATED ANALYSIS

Cross-reference findings across all data sources with Meaningful's built-in validation and synthesis capabilities that identify patterns invisible in isolated datasets.

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STREAMLINED WORKFLOW

From initial research design through final strategic recommendations,
manage all data sources through one orchestrated platform instead of juggling multiple specialized tools.

Escalators

MEANINGFUL

A modern intelligence engine that delivers fast, reliable, multi-layered strategic insights.

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Intelligence Architecture
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  • ​Identifies the real business problem

  • Activates domain expertise

  • Selects tailored research areas (market, competition, customers, regulation, tech, region, etc.)​

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Advanced Analytics & Validation
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  • Evidence-based synthesis

  • Every insight is fully sourced

  • Cross-level integration (local ↔ national ↔ global)

  • Bias, recency, and methodology checks

  • Confident, defensible conclusions

03

Interactive Delivery
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  • Executive dashboards

  • Detailed reports with reasoning chains

  • Unified multi-level view

  • “Chat with the data” interaction

  • On-demand deep dives​​

04

Business Impact
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  • Speed: Hours, not weeks

  • Coverage: No perspective missed

  • Credibility: Source-backed, verifiable

  • Relevance: Tailored to the business context

  • Scalability: From quick insights to major strategic decisions

Here’s a quick walkthrough to show you how Meaningful works.

Meaningful Case Studies

From complex B2B challenges to fast-turn creative testing, Meaningful has become an essential part of our research workflow. Below are recent projects using Meaningful. Each project demonstrates how smarter workflows, and Meaningful's AI-powered integrated research platform translate directly into successful outcomes (and cost and time savings). 

B2B: Emerging Technology

EMERGING TECHNOLOGY

Objective: Understanding messaging and solution requirements for emerging technology in the US.

Audience: Purchase decision-makers (manager level+) in the emerging technology space across multiple industry verticals.

Approach: Online quantitative survey layered with secondary data (market analysis and social scraping) to validate findings and expand recommendations for this niche industry.

Meaningful Application: Meaningful was used to integrate all data sources and create profiles for each of the different verticals. What would have taken weeks took hours. We also made use of Meaningful's "Chat with data" function. 

Health: Creative Testing

HEALTH SYSTEM

Objective: Creative testing for a health system in the US. Testing audience reaction before full production. 

Audience: Parents of children under the age of 18 in certain geographic regions. 

Approach: Online screener + Conversations to get in-depth insight into audience reaction on a few short videos. Respondents were interviewed in a conversational style and asked to give their honest feedback. The conversation also allowed us to get in depth feedback validate the creative direction and provide easy optimizations for the creative team. 

Meaningful Application: Meaningful's Conversation was used for the in-depth interviews. Results were delivered to our client via a link that was as easy to read as it was to navigate. The dashboard featured key findings, highlights, sentiment, themes, representative quotes, overall findings, and more, including the transcript of each respondent so the client could view as well.

Consumer: Concept Testing

WELL ESTABLISHED SNACK BRAND

Objective: Test audience reception to two potential campaigns and messages from each campaign for a well established popcorn brand.

Audience: Consumer study of purchasers of salty snacks, ages 18-60 in the US.

Approach: Online quantitative survey.

Meaningful Application: Findings from the quantitative survey showed a very close tie between the two concepts. We uploaded the raw data from our quantitative survey and used Meaningful to gather consumer trends and social insights for the industry.  We then ran a synthesized review to recommend a creative decision for the client that was grounded in primary and secondary research.

Retail Media: Visitor Intercept

POP-UP STORE INTERCEPT INTERVIEWS VIA QR CODE

Objective: Collect real-time consumer feedback on brands among visitors of retail pop-up event. 

Audience: Visitors of the retail pop-up (invite-only event) which included retailers, buyers, and influencers.

Approach: Meaningful's Conversation was used to create quick conversational style surveys for the different brands represented at the pop-up store. The survey was administered to visitors of the pop-up using a QR code.  

Meaningful Application: Each survey was customized per brand and the results were available by individual brand dashboards.  Additionally, data was merged across brands into one report and layered with secondary data to generate a unified trend analysis. The dashboard featured core consumer insights, trial behavior dynamics, strategic recommendations, key findings, metrics, trends, insights and more including a detailed breakdown of the individual brands. All the data was consolidated into one clean and easy to read dashboard. 

Questions?

Some common questions you may have about Meaningful answered. We're also here to answer any questions at all you may have so don't hesitate to reach out!

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Do I need to be a techie to use Meaningful?

Meaningful was built on the belief that tools should work for researchers and not the other way around. You shouldn’t need  years of experience to figure out how to use a new platform. Meaningful was designed for ease of use. It is intuitive, and requires minimal training.  We are also on hand to provide support and answer any questions.

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How can I trust the data that Meaningful provides?

Meaningful uses multi-layered validation to ensure analytical accuracy and research integrity. The system cross-references insights and flags potential biases or gaps in reasoning and employs rigorous internal processes to eliminate hallucinations to ensure the accuracy of all data, analysis, and recommendations.  And just as we believe that AI-powered tools work best when under the supervision and guidance of human experts, we also believe that researchers should always be able to quickly review the source of all data.  Trust but verify is our motto.

Robot Engineer

Will I be replaced with Meaningful or AI?

Human expertise is irreplaceable. Rather than replacing humans, the system was built to amplify their impact by handling the analytical heavy lifting, allowing experts to focus on what they do best: uncovering insights that only human intuition and experience can discover. 

Meaningful also does not try to replicate how a human researcher approaches gathering and analyzing data, but instead deploy LLMs so that they can work to their strengths.  

Meaningful brings the entire research workflow together, helping teams make real connections and uncover meaningful insights all in one place. It is transforming how organizations connect with people, enabling deeper, more human-centered insights at scale. 

Start your Meaningful journey.

 

For more information about Meaningful, to set up a demo or to subscribe, please contact us.

MORE ABOUT MEANINGFUL 

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